Assistant Vice President, Senior Data Architect

5G-Starlink Pte.; Singapore; On-site; SGD 100,000 - 125,000; Full time

Job summary

A leading technology company in Singapore is seeking an Assistant Vice President, Senior Data Architect to design and develop modern data and analytics platforms. This role requires a minimum of 10 years of data architecture experience and a strong background in banking. Candidates should have expertise in cloud platforms, big data technologies, and data governance. The ideal candidate will demonstrate strong presentation skills and project management experience. This position offers opportunities to work on innovative data solutions within a collaborative environment.

Qualifications

• Minimum of 10 years of experience in data architecture.
• Experience in the banking industry preferred.
• Strong understanding of data management frameworks.

Responsibilities

• Design and develop modern data and analytics platforms.
• Define data management and governance frameworks.
• Collaborate with security teams on Data Security Policies.

Skills

Data architecture

AI and analytics

Big data technologies

Data governance

Data modeling techniques

Project management

Education

Bachelor's or Master's degree in a relevant field

Tools

AWS RDS

Teradata

Google BigQuery

PowerBI

Kafka

Job description

About the job Assistant Vice President, Senior Data Architect

Job Description:

• Design and develop modern data and analytics platform
• Design and develop Data and Analytics architecture blueprint, Policy, Standards and Procedures for the organization.
• Define data management and governance framework.
• Design solution architecture across specific business applications or technologies based on enterprise business strategy, capabilities, and requirements.
• Collaborate with security and risk teams to develop/update/promote Data Security Policies and Standards which are aligned to Organization's Security Procedure and Practices.
• Provide consulting support to Project's business/application/Technology Architects to ensure solution's alignment to overall Data Enterprise Architecture Policy and Standards.
• Understands technology trends and its practical application to existing and emerging technologies to enable new and evolving business and operation models.

Qualifications and Education Requirements

• Minimum of 10 years of data architecture experiences.
• Experience in banking industry is preferred

Job Requirements:

• Experience in modern AI, analytics, big data and technologies including cloud platforms, data quality, governance, data strategy and architecture
• Experience in design and implementation of modern data warehouse and Data Lake/Big Data Technology including Teradata, Amazon Redshift, Azure Synapse, Google BigQuery, snowflake, databricks, Oracle DW and Cloudera.
• Experience in developing Data Governance model for data Profiling, data quality, data catalog, data tagging, data glossary and data lineage
• Deep understanding of Modern DataExperience in developing Data Enterprise Architecture Policy, Standards and Procedures for global bank.
• Deep understanding in Data Management framework with strong focus on Data availability, quality, integrity, usability, security.
• A Strong understanding in conceptual, logical, and physical data modelling. Well versed in data modelling techniques (Kimball) in both Entity Relationship data model and dimensional data model
• Experience in database technologies such as AWS RDS, MS SQL, DB2, Oracle DB, MySQL, MongoDB/ NoSQL
• Experience in Data transformation / integration, BI, Data Analytics, Reporting, Machine Learning toolsets such as, Talend, Alteryx, Business Objects, Informatica, Tableau, PowerBI, etc.
• Experience in data streaming technology using, Kafka, Tibco.
• Experience in Data Virtualization Technology (Denodo)
• Experience with machine learning, NLP and deep learning modelling.
• Knowledge in data mesh and data product, and data marketplace
• Strong presentation and technical documentation, and project management skills.
• Experience in Application Data Integration using Enterprise Service Bus and/or API Management.
• Familiar with TOGAF concept with practical experience in full TOGAF cycle implementation.
• Familiar with Financial Regulator's Data Governance Policy and MAS TRM.